EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images

11 October 2022

Papers citing "EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images"

5 / 5 papers shown

Title
PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images Y. Luo Shiru Wang J. Liu Jiaxuan Xiao Rundong Xue Zeyu Zhang Hao Zhang Yu Lu Yang Zhao Yutong Xie 42 0 0 23 Mar 2025
Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance Muta Tah Hira M. Razzaque Mosharraf Sarker 17 0 0 20 Nov 2023
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review Jack Breen Katie Allen K. Zucker P. Adusumilli A. Scarsbrook Geoff Hall Nicolas M. Orsi Nishant Ravikumar 14 29 0 31 Mar 2023
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis Pei Liu Bo Fu Feng Ye Rui Yang Bin Xu Luping Ji 11 24 0 12 Jun 2022
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 102 1,229 0 02 Jun 2016